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Career

· Professor, Arizona State University
· Undergraduate Student, Cornell University
· Intern, Google
· Intern, IBM
· Intern, Intel
· Director of AI Research, Meta
· Ph.D. Candidate, Princeton University

Publications (133)

Deep Learning Recommendation Model for Personalization and Recommendation Systems
arXiv.org · 2019
855
cited
Sustainable AI: Environmental Implications, Challenges and Opportunities
Conference on Machine Learning and Systems · 2021
553
cited
Machine Learning at Facebook: Understanding Inference at the Edge
International Symposium on High-Performance Computer Architecture · 2019
467
cited
MLPerf Training Benchmark
Conference on Machine Learning and Systems · 2019
352
cited
Chasing Carbon: The Elusive Environmental Footprint of Computing
International Symposium on High-Performance Computer Architecture · 2020
327
cited
The Architectural Implications of Facebook's DNN-Based Personalized Recommendation
International Symposium on High-Performance Computer Architecture · 2019
316
cited
SHiP: Signature-based Hit Predictor for high performance caching
Micro · 2011
283
cited
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
International Symposium on Computer Architecture · 2019
251
cited
ACT: designing sustainable computer systems with an architectural carbon modeling tool
International Symposium on Computer Architecture · 2022
229
cited
MCM-GPU: Multi-chip-module GPUs for continued performance scalability
International Symposium on Computer Architecture · 2017
219
cited
DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference
International Symposium on Computer Architecture · 2020
200
cited
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Annual Meeting of the Association for Computational Linguistics · 2024
192
cited
MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance
IEEE Micro · 2020
171
cited
Papaya: Practical, Private, and Scalable Federated Learning
Conference on Machine Learning and Systems · 2021
156
cited
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters
International Conference on Architectural Support for Programming Languages and Operating Systems · 2022
150
cited
DataPerf: Benchmarks for Data-Centric AI Development
Neural Information Processing Systems · 2022
129
cited
RecSSD: near data processing for solid state drive based recommendation inference
International Conference on Architectural Support for Programming Languages and Operating Systems · 2021
127
cited
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale
International Symposium on High-Performance Computer Architecture · 2020
123
cited
PACMan: Prefetch-Aware Cache Management for high performance caching
Micro · 2011
119
cited
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models
Conference on Machine Learning and Systems · 2021
115
cited
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